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Extreme events in complex linear and nonlinear photonic media

Author

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  • Mattheakis, M.
  • Pitsios, I.J.
  • Tsironis, G.P.
  • Tzortzakis, S.

Abstract

Ocean rogue waves (RW) are huge solitary waves that have for long triggered the interest of scientists. The RWs emerge in a complex environment and it is still under investigation if they are due to linear or nonlinear processes. Recent works have demonstrated that RWs appear in various other physical systems such as microwaves, nonlinear crystals, cold atoms, etc. In this work we investigate optical wave propagation in strongly scattering random lattices embedded in the bulk of transparent glasses. In the linear regime we observe the appearance of extreme waves, RW-type, that depend solely on the scattering properties of the medium. Interestingly, the addition of nonlinearity does not modify the RW statistics, while as the nonlinearities are increased multiple-filamentation and intensity clamping destroy the RW statistics. Numerical simulations agree nicely with the experimental findings and altogether prove that optical rogue waves are generated through the linear strong scattering in such complex environments.

Suggested Citation

  • Mattheakis, M. & Pitsios, I.J. & Tsironis, G.P. & Tzortzakis, S., 2016. "Extreme events in complex linear and nonlinear photonic media," Chaos, Solitons & Fractals, Elsevier, vol. 84(C), pages 73-80.
    • Handle: RePEc:eee:chsofr:v:84:y:2016:i:c:p:73-80
    DOI: 10.1016/j.chaos.2016.01.008
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    References listed on IDEAS

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    1. Zhenya Yan, 2009. "Financial rogue waves," Papers 0911.4259, arXiv.org, revised Sep 2010.
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    Cited by:

    1. Behnia, S. & Ziaei, J. & Khodavirdizadeh, M. & Hosseinnezhad, P. & Rahimi, F., 2018. "Quantum chaos analysis for characterizing a photonic resonator lattice," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 154-159.
    2. Kaveh, Hojjat & Salarieh, Hassan, 2020. "A new approach to extreme event prediction and mitigation via Markov-model-based chaos control," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).

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